Data Sensing and Analysis in Design, Construction, Operation, Monitoring, and Maintenance of Built Environments
A special issue of Data (ISSN 2306-5729).
Deadline for manuscript submissions: closed (30 April 2020) | Viewed by 54290
Special Issue Editors
Special Issues, Collections and Topics in MDPI journals
Interests: virtual reality/augmented reality (AR/VR) in construction engineering; building information modeling; information overload in construction operations
Special Issues, Collections and Topics in MDPI journals
Interests: smart building; human-building interaction; thermographic & physiological sensing and analytics; building information modeling (BIM); smart construction; automation in construction; digital twins in construction; smart city
Special Issue Information
Dear Colleagues,
The advancements in technologies, including multimodal visual sensors, wireless infrastructure sensors, wearable sensors, unmanned aerial systems (UAS), and virtual reality/augmented reality (AR/VR), have changed the way we tackling complex problems in civil engineering. High-resolution data collected from buildings, roads, bridges, public spaces, and other infrastructure have become increasingly available and have brought new discoveries and challenges in design, construction, maintenance, and operation of buildings and infrastructure. Making such data transparent and accessible is now critical in supporting reproducible research and generating new research opportunities for other researchers. However, the efforts to publish data in a way that enables reproducibility and reuse are limited in civil engineering and valuable data are often buried in supplementary materials.
This Special Issue thus aims to publish articles describing data collection, acquisition, (re)processing, and management in civil engineering, so that future use of the data can be assured. Potential datasets include, but are not limited to, data and methods on:
- Built environment monitoring, control, and analysis
- Project design, construction, planning, and management
- Asset and facility management, operation, and maintenance
- Data acquisition (handhelds, laser scanning, photo/videogrammetry, unmanned aerial systems, etc.) in built environment monitoring
- Visualization (nD, VR, AR)
- Construction automation/smart construction
- Smart safety and health in construction
- Internet of Things and big data analytics in construction
- Sustainable construction and design
- 3D geographic information systems
- 3D printing (contour crafting)
Dr. Changbum R. Ahn
Assoc. Prof. Eric Jing Du
Dr. Youngjib Ham
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Data is an international peer-reviewed open access quarterly journal published by MDPI.
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Keywords
- Built environment monitoring, control, and analysis
- Project design, construction, planning, and management
- Asset and facility management, operation, and maintenance
- Data acquisition (handhelds, laser scanning, photo/videogrammetry, unmanned aerial systems, etc.) in built environment monitoring
- Visualization (nD, VR, AR)
- Construction automation / Smart construction
- Smart safety and health in construction
- Internet of Things and big data analytics in construction
- Sustainable construction and design
- 3D geographic information systems
- 3D printing (contour crafting)
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